Gigabyte Technology Co., Ltd. B650M AORUS ELITE AX ICE
Geekbench AI Score
14869
Single Precision Score
14580
Half Precision Score
32379
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 01:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M AORUS ELITE AX ICE |
| Motherboard | Gigabyte Technology Co., Ltd. B650M AORUS ELITE AX ICE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7219
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
6879
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
15272
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9872
160.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9158
148.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
18115
293.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
32960
38.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
32963
38.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
133013
155.7 IPS |
|
|
Object Detection (SP)
|
100% |
8791
697.3 IPS |
|
|
Object Detection (HP)
|
100% |
8247
654.1 IPS |
|
|
Object Detection (Q)
|
88% |
18621
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
19784
235.1 IPS |
|
|
Face Detection (HP)
|
100% |
20266
240.8 IPS |
|
|
Face Detection (Q)
|
100% |
53009
629.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
26150
201.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
25396
195.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
64944
505.3 IPS |
|
|
Style Transfer (SP)
|
100% |
85656
110.1 IPS |
|
|
Style Transfer (HP)
|
100% |
86166
110.8 IPS |
|
|
Style Transfer (Q)
|
98% |
303440
391.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14820
547.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14857
548.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38908
1.44 KIPS |
|
|
Text Classification (SP)
|
100% |
5224
6.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5173
6.90 KIPS |
|
|
Text Classification (Q)
|
92% |
6166
8.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
7458
128.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7437
128.1 IPS |
|
|
Machine Translation (Q)
|
100% |
7377
127.1 IPS |
